摘要
本研究以某大型企业为例,提出了一套基于云计算的存储系统优化方案,旨在解决传统集中式存储架构在大数据环境中的性能及安全性等问题。通过优化存储架构、数据加密、访问控制和灾难恢复机制,数据访问延迟降至50ms以下,吞吐量提升了300%;加密技术和密钥管理增强了数据安全性;灾难恢复时间大幅缩短,自动化恢复流程提升了业务连续性;跨云备份和智能故障检测减少了20%~30%的运营成本,确保了PB级数据的高效安全处理,为企业高效运营提供了有力支持。
This study takes a large multinational enterprise as an example and proposes a cloud based storage system optimization solution aimed at addressing the performance and security issues of traditional centralized storage architectures in big data environments.By optimizing storage architecture,data encryption,access control,and disaster recovery mechanisms,data access latency has been reduced to below 50ms,and throughput has been increased by 300%;Encryption technology and key management enhance data security;Disaster recovery time has been significantly reduced,and automated recovery processes have improved business continuity;Cross cloud backup and intelligent fault detection have reduced operating costs by 20%to 30%,ensuring efficient and secure processing of PB level data,and providing strong support for efficient enterprise operations.
作者
邢维嘉
XING Weijia(Shanxi Polytechnic College,Taiyuan Shanxi 030006)
出处
《软件》
2025年第4期71-73,共3页
Software
关键词
云计算
计算机网络安全
存储系统
cloud computing
computer network security
storage system
